Aashish Pahwa

For people building something of their own

Side hustles

Ogilvy by day, Feedough by night, then Feedough full time. Build the thing on the side until the side is the job.

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On the bench right now

4 things I am building as you read this. None of them has a name yet.

on the bench

the organisation's inbox

Working title. The real name comes when it ships.

One inbox for everything my team and I say, in meetings, offline, online and on Slack, turned into tasks the whole organisation can see.

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on the bench

the second brain

Working title. The real name comes when it ships.

Memory in three stages: top of mind, which fades the way ours does (Hebbian decay), favourites that are never forgotten, and hybrid retrieval for everything else.

3 memory stages

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on the bench

the inbound swarm

Working title. The real name comes when it ships.

A swarm of agents that knows every one of my companies, their terms and their rates, and negotiates inbound leads for us on LinkedIn, email and the rest.

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on the bench

the browser agents

Working title. The real name comes when it ships.

Agents that use LinkedIn and Reddit the way we do: they scroll, stop at a good post, upvote or reply. Every so often we slip in something with a target.

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on the bench

the organisation's inbox

Working title. The real name comes when it ships.

The problem

Half of what a company decides is said out loud and never written down: in a meeting, over chai, on a call, in a Slack thread nobody scrolls back to. Then a week later nobody agrees on who was meant to do what.

How it works

  1. It listens wherever we talk: meeting recordings, calls, Slack, and the offline conversations somebody logs in a sentence.
  2. Everything lands in one inbox, already sorted by person, project and client.
  3. Anything that sounds like a commitment ("I'll send it Friday") becomes a task with an owner and a date.
  4. The tasks are open to the whole organisation, so anyone can see what was promised and by whom, without asking.

Why I am building it

Koso runs across four continents and a lot of time zones. I wanted the company to remember what it said, so I do not have to.

Want it when it ships? Tell me.
on the bench

the second brain

Working title. The real name comes when it ships.

The problem

Most AI memory is a flat pile: everything ever said, searched the same way, forever. People do not remember like that, and the pile gets worse the bigger it gets.

How it works

  1. Top of mind: things that come up often get stronger, and things that stop coming up fade. That is Hebbian decay, the neurons-that-fire-together idea, with a clock on it.
  2. Favourites: the things that must never fade, pinned outside the decay, like a client's name or how I like an email to sound.
  3. Hybrid retrieval for everything else: plain keyword search and meaning-based search together, so it finds the exact phrase and the thing I meant.

Why I am building it

Every agent I build is only as good as what it remembers. This is the memory they all share.

Want it when it ships? Tell me.
on the bench

the inbound swarm

Working title. The real name comes when it ships.

The problem

Leads come in on LinkedIn, by email and in DMs, for four different companies with four different price lists. Answering them well takes hours; answering them late loses them.

How it works

  1. Each agent in the swarm is trained on all of my organisations: what each one does, its terms, its rates, and what it will and will not agree to.
  2. A new lead on any channel is picked up, qualified and matched to the right company.
  3. The swarm replies on the same channel, answers the questions and negotiates inside the limits we set.
  4. Anything outside those limits, or any deal ready to close, comes to a person.

Why I am building it

Okom handles the outreach that goes out. This is the other half: everything that comes in.

Want it when it ships? Tell me.
on the bench

the browser agents

Working title. The real name comes when it ships.

The problem

Most automation on LinkedIn and Reddit is obvious: it posts at three in the morning, likes everything in a row and gets an account flagged in a week.

How it works

  1. The agents use a real browser the way a person does. They scroll at a reading pace and stop when a post is actually interesting.
  2. When something is good they upvote it, or reply with something worth reading, the way we would.
  3. Every so often we slip in a goal: a thread to join, a person to notice, a conversation where one of our companies belongs.
  4. Most of the time they are just good members of the community. That is the point.

Why I am building it

It is the only kind of automation I would want pointed at me.

Want it when it ships? Tell me.

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